Working Papers

Arkady Konovalov & Ian Krajbich (2017). On the strategic use of response times (Working Paper). Social Science Electronic Publishing.

Cary Frydman & Ian Krajbich (2017). Using response times to infer others’ beliefs: An application to information cascades (Working Paper). Social Science Electronic Publishing

Journal Articles

Gwinn, R., & Krajbich, I. (2020) Attitudes and attention. Journal of Experimental Social Psychology, 86

Cooper, D.J., Krajbich, I., Noussair, C.N. (2019) Choice-process data in experimental economics. Journal of the Economic Science Association, 5(1) 1-13

Smith, S., & Krajbich, I. (2019) Gaze-informed modeling of preference learning and prediction. Journal of Neuroscience, Psychology, and Economics, in press

Konovalov, A., & Krajbich, I. (2019) Revealed strength of preference: Inference from response times. Judgment and Decision Making, 14(4) 381-394

Smith, S., Krajbich, I., Webb, R. (2019) Estimating the dynamic role of attention via random utility. Journal of the Economic Science Association, 5(1) 97-111

Thomas, A.W., Molter, F., Krajbich, I., Heekeren, H.R., Mohr, P.N.C (2019) Gaze bias differences capture individual choice behavior. Nature Human Behaviour 3 625-635

Roberts, I., Krajbich, I., Way, B. (2019) Acetaminophen influences social and economic trust. Scientific Reports 9:4060

Konovalov, A. & Krajbich, I. (2019). Over a decade of neuroeconomics: What have we learned? Organizational Research Methods, 22(1) 148-173

Gwinn, R., Leber, A., Krajbich, I. (2019) The spillover effects of attentional learning on value-based choice. Cognition, 182:294-306

Krajbich, I. (2019) Accounting for attention in sequential sampling models of decision making. Current Opinion in Psychology, 29: 6-11

Smith, S., & Krajbich, I. (2019) Gaze amplifies value in decision making. Psychological Science, 30(1): 116-128

Smith, S., & Krajbich, I. (2018) Attention and choice across domains. Journal of Experimental Psychology: General, 147(12):1810-1826

Chen, F., & Krajbich, I. (2018) Biased sequential sampling underlies the effects of time pressure and delay in social decision making. Nature Communications9:3557

Konovalov, A., & Krajbich, I. (2018) Neurocomputational dynamics of sequence learning. Neuron, 98: 1-12

Roberts, I.D., Krajbich, I., Cheavens, J.S., Campo, J.V., Way, B.M. (2018) Acetaminophen reduces distrust in individuals with borderline personality disorder features. Clinical Psychological Science, 6(1): 145-154

Chen, J.W. & Krajbich I. (2017) Computational modeling of epiphany learning. Proceedings of the National Academy of Sciences of the USA, 114(18):4637-4642

Konovalov, A. & Krajbich, I. (2017). Money in the Bank: Distortive Effects of Accumuled Earnings on Risky Choice. Neuron, 93(3), 473-475.

Enax, L., Krajbich, I., & Weber, B. (2016). Salient nutrition labels increase the integration of health attributes in food decision-making. Judgment and Decision Making, 11(5), 460-471.

Konovalov, A. & Krajbich, I. (2016). Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning. Nature Communications, 7:12438

Krajbich, I., Camerer, C., & Rangel, A. (2016). Exploring the scope of neurometrically informed mechanism design. Games and Economic Behavior. 101:49-62

Ashby, N.J.S., Johnson, J.G., Krajbich, I., & Wedel, M. (2016). Applications and innovations of eye-movement research in judgment and decision making. Journal of Behavioral Decision Making 29(96-102)

Oud*, B., Krajbich*, I., Miller, K., Cheong, J.H., Botvinick*, & M., Fehr*, E. (2016). Irrational time allocation in decision making. Proceedings of the Royal Society B, 283(1822). *joint first and last authorship

Krajbich, I., & Smith, S. M. (2015). Modeling eye movements and response times in consumer choice. Journal of Agricultural & Food Industrial Organization, 13(1), 55-72.

Krajbich, I., & Dean, M. (2015). How can neuroscience inform economics? Current Opinion in Behavioral Sciences, 5, 51-57.

Krajbich, I., Hare, T., Bartling, B., Morishima, Y., & Fehr, E. (2015). A common mechanism underlying food choice and social decisions. PLoS Computational Biology, 11(10): e1004371

Krajbich, I., Bartling, B., Hare, T., & Fehr, E. (2015). Rethinking fast and slow based on a critique of reaction-time reverse inference. Nature Communications, 6:7455

Chumbley, J. R., Krajbich, I., Engelmann, J. B., Russell, E., Van Uum, S., Koren, G., & Fehr, E. (2014). Endogenous Cortisol Predicts Decreased Loss Aversion in Young Men. Psychological Science25(11), 2102-2105.

Krajbich, I., Oud, B., Fehr, E. (2014). Benefits of neuroeconomics modeling: New policy interventions and predictors of preference. American Economic Review: Papers & Proceedings, 104(5), 501-506

Polania, R., Krajbich, I., Grueschow, M., Ruff, C. (2014). “Neural oscillations and synchronization differentially support evidence accumulation in perceptual and value-based decision-making.” Neuron, 82, 709-720

Krajbich, I., Lu, D., Camerer, C., Rangel, A. (2012). The attentional drift-diffusion model extends to simple purchasing decisions. Frontiers in Psychology, 3(193), 1-18.

Wang, S., Krajbich, I., Adolphs, R., Tsuchiya, N. (2012). The role of risk aversion in non-conscious decision making. Frontiers in Psychology, 3(50), 1-17.

Krajbich, I., Rangel, A. (2011). Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based choice. Proceedings of the National Academy of Sciences of the USA, 108(33), 13852-13857.

Krajbich, I., Armel, C., Rangel, A. (2010). Visual fixations and the computation and comparison of value in simple choice. Nature Neuroscience, 13(10), 1292-1298.

Krajbich, I., Camerer, C., Ledyard, J., Rangel, A. (2009). Using neural measures of economic value to solve the public goods free-rider problem. Science, 326(5952), 596-599.

Krajbich, I., Adolphs, R., Tranel, D., Denburg, N., Camerer, C. (2009). Economic games quantify diminished sense of guilt in patients with damage to the prefrontal cortex. The Journal of Neuroscience, 29(7), 2188-2192.

Hsu, M., Krajbich, I., Zhao, C., Camerer, C. (2009). Neural response to reward anticipation under risk is nonlinear in probabilities. The Journal of Neuroscience, 29(7), 2231-2237.

Kang, M.J., Hsu, M., Krajbich, I., Loewenstein, G., McClure, S., Wang, J.T., Camerer, C. (2009). The wick in the candle of learning: Epistemic curiosity activates reward circuitry and enhances memory. Psychological Science, 20(8), 963-973.

Book Chapters

Fehr, E., Krajbich, I. (2013). Social preferences and the brain. In P. Glimcher and E. Fehr (Eds.) Neuroeconomics: Decision-Making and the Brain.